Gen AI Engineer - AIENGG 25-34672

NavitsPartners • Dallas, TX

1d

About The Position

Join a high-growth AI organization operating at the frontier of software development and AI research . This team is accelerating advances in reasoning, coding, multimodal AI, and STEM-focused intelligence , while delivering enterprise-grade AI systems that move beyond prototypes into real-world, revenue-generating deployments. You’ll collaborate with Silicon Valley–caliber engineers and researchers , backed by $100M+ in recent funding , building agentic AI solutions that power mission-critical workflows for global enterprises. As a Generative AI Engineer , you will be a core contributor within a cross-functional pod, partnering closely with Tech Leads and Full Stack Engineers . Your focus will be on designing, building, and deploying agentic AI systems using state-of-the-art LLMs and GenAI frameworks, transforming advanced AI capabilities into scalable, production-ready enterprise solutions .

Requirements

• 8+ years of software engineering experience, including 2–3+ years working with AI/ML or Generative AI systems in production
• Strong hands-on experience with Python (required) for AI/ML model integration and orchestration
• Practical experience with LLM frameworks such as LangChain and LlamaIndex (required)
• Hands-on exposure to agentic AI frameworks including LangGraph and/or Google ADK (required)
• Solid understanding of Git, CI/CD pipelines, DevOps , and production deployment practices
• Experience working with Google Cloud Platform (GCP) , including tools such as Vertex AI, Cloud Run, and GKE

Nice To Haves

• Experience building AI-powered APIs , embeddings, and vector search integrations
• Exposure to fine-tuning open-source LLMs (e.g., LLaMA, Mistral) or working with OpenAI APIs
• Experience with multimodal AI systems (text, image, or voice)
• Familiarity with low-code / no-code platforms (e.g., AppSheet) for workflow automation

Responsibilities

• Design, develop, and deploy agentic AI systems leveraging large language models and modern GenAI frameworks
• Integrate GenAI capabilities into full-stack applications and internal enterprise workflows
• Collaborate on prompt engineering , model fine-tuning, and systematic evaluation of generative outputs
• Build reusable services and components for multi-agent orchestration and intelligent task automation
• Optimize AI inference pipelines for scalability, latency, reliability, and cost efficiency
• Contribute to architectural discussions and help shape the technical roadmap for the AI pod
• Ensure best practices for production-grade GenAI deployment , monitoring, and lifecycle management

Benefits

• Build real-world agentic AI systems , not experimental demos
• Work on enterprise-scale GenAI deployments with measurable business impact
• Collaborate with top-tier engineers and AI practitioners
• Influence architecture and technical direction in a fast-growing, well-funded AI environment
• Competitive compensation aligned with senior GenAI expertise

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed